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This StatQuest is all about interpreting p-values. You've seen them online or in publications, or heard about them, whispered in ...

Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. In this StatQuest, I go ...

NOTE: This video was originally made as a follow up to an overview of Maximum Likelihood https://youtu.be/XepXtl9YKwc .

Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don't have the ...

Bootstrapping is one of the simplest, yet most powerful methods in all of statistics. It provides us an easy way to get a sense of ...

The main ideas behind PCA are actually super simple and that means it's easy to interpret a PCA plot: Samples that are correlated ...

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood.

ROC (Receiver Operator Characteristic) graphs and AUC (the area under the curve), are useful for consolidating the information ...

One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method ...

Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you ...

Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in ...

Machine learning and Data Mining sure sound like complicated things, but that isn't always the case. Here we talk about the ...

Encoder-Only Transformers are the backbone for RAG (retrieval augmented generation), sentiment analysis and classification ...

Reinforcement Learning is one of the most useful methodologies for training AI systems right now, and, while it might seem ...

The Chain Rule is a method for finding complex derivatives and is used all the time in Statistics and Machine Learning. This video ...

K-means clustering is used in all kinds of situations and it's crazy simple. The R code is on the StatQuest GitHub: ...

One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video breaks ...

Gaussian Naive Bayes takes are of all your Naive Bayes needs when your training data are continuous. If that sounds fancy, don't ...

Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most ...

If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone ...